Updated: Feb 12
COVID-19 's rapid propagation has resulted in data. Big data, lots and lots. Scientists from all healthcare industry industries are tracking the virus and the disease spread. Investigators are increasingly using artificial intelligence, machine learning, mathematical modeling, and natural language processing to gain a better understanding of the disease.
The University of Utah announced an investment of $1.3 million in seed grants for COVID-19 studies in an attempt to learn more about the virus and its possible long term consequences. The Vice President 's Research Office has collaborated with the Campaign for Immunology, Inflammation, and Infectious Diseases (3i). The seed grants will finance 56 cross-campus projects that will examine COVID-19.
At the heart of this research lies data analytics. The gamut is vast. What will become of COVID-19's economic , environmental, physical , psychological and social impact? The most immediate need was to understand who has been infected, how to treat critically ill people and how to mitigate the spread.
In the race to develop better testing, treatment and find a cure-cutting-edge methods are crunching the data. Here are just some examples:
a) Machine-learning tools Predict the impact of COVID-19 quarantine
b) The Pentagon will use AI to forecast panic purchases, COVID-19 hotspots
c) Cleveland Clinic and SAS Share COVID-19 Predictive models for helping hospitals plan for the needs of today and the future
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